AI Index

Gemini 4 ArgonvsGLM-5.3

Both language models, compared at each maker’s own API list prices. Every figure links to its source.

Compare at your usage

Every model priced for the same request
Prompt per request
Cache hits
Batch
Service tier

8,000 tokens in, 2,000 out

Gemini 4 Argon on Gemini APIGLM-5.3 on Z.ai API
Rate appliedBase rateBase rate
Inputper 1M tokens$2.00 $1.40
Cache readper 1M tokens$0.10 $0.26
Outputper 1M tokens$10.00 $4.40
Cost per request$0.036$0.020
Per 1,000 requests$36.00$20.00

Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.

Cost per request as prompts grow

2K tokens out, list price on each maker’s API.

0$0.50$1.00$1.50$2.000250K500K750K1Mprompt tokens per request8KGemini 4 Argon$0.036 at 8KGLM-5.3$0.020 at 8K
  • Gemini 4 Argon · Gemini API
  • GLM-5.3 · Z.ai API

Where each stands among all scored models

Each line runs from the lowest to the highest score on the board; the tick is the median.

Epoch Capabilities Index#6 vs #29 of 118GLM-5.3: 156.9Gemini 4 Argon: 166.5LMArena Text#2 vs #23 of 163GLM-5.3: 1,481Gemini 4 Argon: 1,520LMArena Text · Coding#5 vs #29 of 163GLM-5.3: 1,520Gemini 4 Argon: 1,550LMArena Text · Chinese#2 vs #13 of 161GLM-5.3: 1,538Gemini 4 Argon: 1,579
  • Gemini 4 Argon
  • GLM-5.3

Key differences

Gemini 4 ArgonGLM-5.3
InputMaker’s official API · global · USD
$2.00 / 1M tokens Gemini API pricing · as of Nov 1, 2026
$1.40 / 1M tokens Pricing · as of Nov 1, 2026
OutputMaker’s official API · global · USD
$10.00 / 1M tokens Gemini API pricing · as of Nov 1, 2026
$4.40 / 1M tokens Pricing · as of Nov 1, 2026
Max output
1,000,000 Gemini 4 Argon: our next era of frontier intelligence · as of Oct 30, 2026
128,000 智谱 BigModel：模型概览in Chinese · as of Nov 4, 2026
Input modalities
Text, Image, Audio, Video, PDF Gemini 4 Argon | Gemini API | Google AI for Developers · as of Nov 1, 2026
Text Z.ai GLM-5.3 overview · as of Nov 1, 2026
Cache readMaker’s official API · global · USD
$0.10 / 1M tokens Gemini API pricing · as of Nov 1, 2026
$0.26 / 1M tokens Pricing · as of Nov 1, 2026

These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.

Full comparison

Gemini 4 Argon Google GLM-5.3 Zhipu AI
Overview
ReleasedOct 13, 2026 Aug 18, 2026
Open weights— Yes
Knowledge cutoffMar 2026 Not stated
Specs
Context1M 1M
Max output1M 128K
Input modalitiesText, Image, Audio, Video, PDF Text
Output modalitiesText Text
ReasoningYes Yes
Reasoning effortslow, medium, high low, high, max
Tool useYes Yes
Structured outputYes Yes
Pricing · per 1M tokens
Input price$2.00Also priced under other conditions: Batch, Flex tier, Priority tier $1.40
Output price$10.00Also priced under other conditions: Batch, Flex tier, Priority tier $4.40
Cache read price$0.10Also priced under other conditions: Batch, Flex tier, Priority tier $0.26
Blended price (3 input : 1 output)$4.00 $2.15
Pricing under conditions · per 1M tokens
Batch input price$1.00Batch Not offered
Batch output price$5.00Batch Not offered
Flex tier input price$1.00Flex tier Not offered
Flex tier output price$5.00Flex tier Not offered
Priority tier input price$3.60Priority tier Not offered
Priority tier output price$18.00Priority tier Not offered
Cited scores
Epoch Capabilities Index166.5 156.9
LMArena Text1,520 high effort1,481 max effort
LMArena Text · Coding1,550 high effort1,520 max effort
LMArena Text · Chinese1,579 high effort1,538 max effort
Epoch AI · GPQA Diamond96.4% high effort90.9% max effort
Epoch AI · FrontierMath Tiers 1–386% high effort68.8% max effort

Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.

Model details and sources

Cited scores